CONF
Garner_INTERSPEECH_2010/IDIAP
Tracter: A Lightweight Dataflow Framework
Garner, Philip N.
Dines, John
EXTERNAL
https://publications.idiap.ch/attachments/papers/2010/Garner_INTERSPEECH_2010.pdf
PUBLIC
https://publications.idiap.ch/index.php/publications/showcite/Garner_Idiap-RR-10-2010
Related documents
Proceedings of Interspeech
Makuhari, Japan
2010
September 2010
Tracter is introduced as a dataflow framework particularly useful
for speech recognition. It is designed to work on-line in real-time
as well as off-line, and is the feature extraction means for the
Juicer transducer based decoder. This paper places Tracter in
context amongst the dataflow literature and other commercial and
open source packages. Some design aspects and capabilities are
discussed. Finally, a fairly large processing graph incorporating
voice activity detection and feature extraction is presented as an
example of Tracter's capabilites.
REPORT
Garner_Idiap-RR-10-2010/IDIAP
Tracter: A Lightweight Dataflow Framework
Garner, Philip N.
Dines, John
EXTERNAL
https://publications.idiap.ch/attachments/reports/2010/Garner_Idiap-RR-10-2010.pdf
PUBLIC
Idiap-RR-10-2010
2010
Idiap
May 2010
Tracter is introduced as a dataflow framework particularly useful
for speech recognition. It is designed to work on-line in real-time
as well as off-line, and is the feature extraction means for the
Juicer transducer based decoder. This paper places Tracter in
context amongst the dataflow literature and other commercial and
open source packages. Some design aspects and capabilities are
discussed. Finally, a fairly large processing graph incorporating
voice activity detection and feature extraction is presented as an
example of Tracter's capabilites.